Patents by Inventor Mingtao Cui

Mingtao Cui has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240191608
    Abstract: A rapid mining method for sandstone-type uranium resources in a uranium and coal superposed area, which relates to the technical field of mining engineering is provided. The method includes: arranging a high-density adjustable well pattern in an in-situ leaching mining area; determining a length and a position of a filter located on the in-situ leaching mining area through a digital well construction technology; and in a production stage, carrying out operations such as pumping/injection centralized filtration, intensified leaching, high-intensity extraction, high-intensity injection, and change of layout of the high-density adjustable well pattern to rapidly obtain sandstone-type uranium resources in a uranium and coal superposed area. A recovery speed of the sandstone-type uranium resources can be improved, and service life of the in-situ leaching mining area can be shortened.
    Type: Application
    Filed: December 1, 2023
    Publication date: June 13, 2024
    Inventors: Xuebin Su, Weimin Que, Meifang Chen, Yufeng Cui, Yihan Yang, Lixin Zhao, Wensheng Liao, Yongguo Xing, Chuanfei Zhang, Ying Xu, Zhiming Du, Jiandang Huo, Mingtao Jia, Zhengbang Liu, Zhaokun Li
  • Publication number: 20240030705
    Abstract: The present invention provides an interpretable power load prediction method, system and terminal machine, relating to the field of power load prediction. The method comprises: initializing three factors—seasonal factor, trend factor, and smoothing factor, denoted as S1, T1, and I1 respectively; calculating states of the three factors for time t+1 in a current DeepES unit; outputting the three factors St+1, Tt+1, and It+1 to a next DeepES unit; repeating until a n-th DeepES unit completes its operation; calculating a predicted value Y based on the three factors that are outputted from a final DeepES unit. In power load prediction, constructing an interpretable prediction model enables users to understand the inference process of the model, therefore helps enhance the credibility of the model.
    Type: Application
    Filed: September 28, 2023
    Publication date: January 25, 2024
    Inventors: Qiang Li, Zhu Liu, Wenjing Li, Liyuan Gao, Yumin Liu, Feihu Huang, Xuxin Yang, Shilei Dong, Tianyang Li, Honglei Zhao, Meng Ming, Zhongyu Shang, Chunyang Li, Mingtao Cui, Peiyao Zhang, Hongyue Ma, Bin Dai, Dashuai Tan, Xiao Feng, Xiaokang Lin